Descripteur
Termes IGN > mathématiques > statistique mathématique > géostatistique > krigeage
krigeageVoir aussi |
Documents disponibles dans cette catégorie (100)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Image fusion by spatially adaptive filtering using downscaling cokriging / E. Pardo-Iguzquiza in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
[article]
Titre : Image fusion by spatially adaptive filtering using downscaling cokriging Type de document : Article/Communication Auteurs : E. Pardo-Iguzquiza, Auteur ; V. Rodriguez-Galiano, Auteur ; V. Chica-Olmo, Auteur ; P. Atkinson, Auteur Année de publication : 2011 Article en page(s) : pp 337 - 346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] filtrage numérique d'image
[Termes IGN] fusion d'images
[Termes IGN] image Landsat-TM
[Termes IGN] interpolation non-linéaire
[Termes IGN] krigeage
[Termes IGN] lissage de données
[Termes IGN] qualité géométrique (image)Résumé : (Auteur) The aim of this paper was to extend the method of downscaling cokriging for image fusion by making the method spatially adaptive in that the filter parameters (cokriging weights) can change across the image. The method can adapt itself to the usual statistical non-homogeneity (spatially variable mean, variance and correlation length) of a satellite sensor image that covers an area with different spatial patterns of geographical objects or different terrain types. The solution adopted was to estimate the models of covariances and cross-covariances (or semivariograms and cross-semivariograms) by the same procedure as described in Pardo-Iguzquiza et al. (2006) but with the method applied locally instead of globally. The correct implementation of this local estimation is the key for computational feasibility and prediction efficiency. Two parameters to be taken into account are the grid of locations on which a moving window is centred (local modelling is performed inside this window) and the size of this moving window. With respect to the latter parameter, there is a trade-off between a size small enough to make the procedure locally adaptive and large enough to produce reliable statistical estimates. The computational burden will impose limits to the distance between grid points on which the local moving window is centred. A case study with Landsat ETM+ images was used to show the implementation of the method and the result was evaluated using several statistics widely used for assessing the quality of a fused image, apart from its visual appearance. Numéro de notice : A2011-116 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.01.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30896
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 3 (May - June 2011) . - pp 337 - 346[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011031 SL Revue Centre de documentation Revues en salle Disponible Spatial variability of soil nutrients and GIS-based nutrient management in Yongji County, China / Qian Zhang in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)
[article]
Titre : Spatial variability of soil nutrients and GIS-based nutrient management in Yongji County, China Type de document : Article/Communication Auteurs : Qian Zhang, Auteur ; Z. Yang, Auteur ; Y. Li, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 965 - 981 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] azote
[Termes IGN] Chansi (Chine)
[Termes IGN] krigeage
[Termes IGN] phosphore
[Termes IGN] potassium
[Termes IGN] sol arable
[Termes IGN] système d'information géographique
[Termes IGN] variabilité
[Termes IGN] variable régionaliséeRésumé : (Auteur) Integrated nutrient management is important for sustainable agricultural production and protecting environment quality and has been widely investigated around the world. In this article the spatial variability of soil nutrients was investigated and a regionalized nutrient management system was developed using geostatistics and geographic information system technologies. A total of 511 GPS-referenced soil samples were taken in Yongji County, Shanxi province, China, and analysed for major soil nutrients: soil total nitrogen (TN), Olsen extractable phosphorus (OLSENP) and extractable potassium (EXTK). Low concentrations of nitrogen (N) and phosphorus (P) were found and they are likely to be the main limiting nutrients for crop growth in this county. Within the county moderate spatial dependence was found for all three soil variables, but at different spatial scales. The spatial distributions of TN, OLSENP and EXTK were estimated by using kriging interpolation. The cropped areas of the county were divided into fertilizer management categories consisting of four classes of TN, three classes of OLSENP and two classes of EXTK. For the targeted crop yields, regionalized fertilization maps of N, P and K in the county were produced using geographic information system. In 3-year field verification trials in two villages the crop yields of the wheat-maize rotation system increased by 10-20%, and farmers' cash income increased by 1550-2610 RMB ha-1 year-1 where regional fertilization recommendations were implemented, in comparison with traditional farmers' practices. The regionalized maps are a practical alternative to site-specific soil nutrient management approaches in areas where it is not practical, because of small farm size or other constraints, to use intensive soil sampling and chemical analyses. Numéro de notice : A2010-315 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903257954 En ligne : https://doi.org/10.1080/13658810903257954 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30509
in International journal of geographical information science IJGIS > vol 24 n°7-8 (july 2010) . - pp 965 - 981[article]Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010041 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010042 RAB Revue Centre de documentation En réserve L003 Disponible Effects of topographic variability and Lidar sampling density on several DEM interpolation methods / Q. Guo in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)
[article]
Titre : Effects of topographic variability and Lidar sampling density on several DEM interpolation methods Type de document : Article/Communication Auteurs : Q. Guo, Auteur ; W. Li, Auteur ; H. Yu, Auteur ; O. Alvarez, Auteur Année de publication : 2010 Article en page(s) : pp 701 - 712 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification barycentrique
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] fonction spline d'interpolation
[Termes IGN] interpolation
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] krigeage
[Termes IGN] modèle numérique de terrain
[Termes IGN] Triangulated Irregular Network
[Termes IGN] variabilitéRésumé : (Auteur) This study aims to quantify the effects of topographic variability (measured by coefficient variation of elevation, CV) and lidar (Light Detection and Ranging) sampling density on the DEM (Digital Elevation Model) accuracy derived from several interpolation methods at different spatial resolutions. Interpolation methods include natural neighbor (NN), inverse distance weighted (IDW), triangulated irregular network (TIN), spline, ordinary kriging (OK), and universal kriging (UK). This study is unique in that a comprehensive evaluation of the combined effects of three influencing factors (CV, sampling density, and spatial resolution) on lidar-derived DEM accuracy is carried out using different interpolation methods. Results indicate that simple interpolation methods, such as IDW, NN, and TIN, are more efficient at generating DEMs from lidar data, but kriging-based methods, such as OK and UK, are more reliable if accuracy is the most important consideration. Moreover, spatial resolution also plays an important role when generating DEMs from lidar data. Our results could be used to guide the choice of appropriate lidar interpolation methods for DEM generation given the resolution, sampling density, and topographic variability. Numéro de notice : A2010-228 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.6.701 En ligne : https://doi.org/10.14358/PERS.76.6.701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30422
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 6 (June 2010) . - pp 701 - 712[article]Using landscape characteristics to define an adjusted distance metric for improving kriging interpolations / S. Lyon in International journal of geographical information science IJGIS, vol 24 n° 5-6 (may 2010)
[article]
Titre : Using landscape characteristics to define an adjusted distance metric for improving kriging interpolations Type de document : Article/Communication Auteurs : S. Lyon, Auteur ; R. Sorensen, Auteur ; J. Stendahl, Auteur ; J. Seibert, Auteur Année de publication : 2010 Article en page(s) : pp 723 - 740 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] azote
[Termes IGN] carbone
[Termes IGN] distance euclidienne
[Termes IGN] humidité du sol
[Termes IGN] interpolation
[Termes IGN] krigeage
[Termes IGN] métrique
[Termes IGN] Suède
[Termes IGN] variogrammeRésumé : (Auteur) Interpolation of point measurements using geostatistical techniques such as kriging can be used to estimate values at non-sampled locations in space. Traditional geostatistics are based on the spatial autocorrelation concept that nearby things are more related than distant things. In this study, additional information was used to modify the traditional Euclidean concept of distance into an adjusted distance metric that incorporates similarity in terms of quantifiable landscape characteristics such as topography or land use. This new approach was tested by interpolating soil moisture content, pH and carbon-to-nitrogen (C:N) ratio measured in both the mineral and the organic soil layers at a field site in central Sweden. Semivariograms were created using both the traditional distance metrics and the proposed adjusted distance metrics to carry out ordinary kriging (OK) interpolations between sampling points. In addition, kriging with external drift (KED) was used to interpolate soil properties to evaluate the ability of the adjusted distance metric to incorporate secondary data into interpolations. The new adjusted distance metric typically lowered the nugget associated with the semivariogram, thereby better representing small-scale variability in the measured data compared to semivariograms based on the traditional distance metric. The pattern of the resulting kriging interpolations using KED and OK based on the adjusted distance metric were similar because they represented secondary data and, thus, enhanced small-scale variability compared to traditional distance OK. This created interpolations that agreed better with what is expected for the real-world spatial variation of the measured properties. Based on cross-validation error, OK interpolations using the adjusted distance metric better fit observed data than either OK interpolations using traditional distance or KED. Copyright Taylor & Francis Numéro de notice : A2010-168 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Article DOI : 10.1080/13658810903062487 En ligne : https://doi.org/10.1080/13658810903062487 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30363
in International journal of geographical information science IJGIS > vol 24 n° 5-6 (may 2010) . - pp 723 - 740[article]Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010032 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010031 RAB Revue Centre de documentation En réserve L003 Disponible Spatial interpolation in wireless sensor networks: localized algorithms for variogram modeling and kriging / M. Umer in Geoinformatica, vol 14 n° 1 (January 2010)
[article]
Titre : Spatial interpolation in wireless sensor networks: localized algorithms for variogram modeling and kriging Type de document : Article/Communication Auteurs : M. Umer, Auteur ; Lars Kulik, Auteur ; Egemen Tanin, Auteur Année de publication : 2010 Article en page(s) : pp 101 - 134 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] corrélation
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] lissage de données
[Termes IGN] traitement de données localisées
[Termes IGN] variogrammeRésumé : (Auteur) Wireless sensor networks (WSNs) are rapidly emerging as the prominent technology for monitoring physical phenomena. However, large scale WSNs are known to suffer from coverage holes, i.e., large regions of deployment area where no sensing coverage can be provided. Such holes are the result of hardware failures, extensive costs for redeployment or the hostility of deployment areas. Coverage holes can adversely affect the accurate representation of natural phenomena that are monitored by a WSN. In this work, we propose to exploit the spatial correlation of physical phenomena to make monitoring systems more resilient to coverage holes. We show that a phenomenon can be interpolated inside a coverage hole with a high level of accuracy from the available nodal data given a model of its spatial correlation. However, due to energy limitations of sensor nodes it is imperative to perform this interpolation in an energy efficient manner that minimizes communication among nodes. In this paper, we present highly energy efficient methods for spatial interpolation in WSNs. First, we build a correlation model of the phenomenon being monitored in a distributed manner. Then, a purely localized and distributed spatial interpolation scheme based on Kriging interpolates the phenomenon inside coverage holes. We test the cost and accuracy of our scheme with extensive simulations and show that it is significantly more energy efficient than global interpolations and remarkably more accurate than simple averaging. Numéro de notice : A2010-011 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0078-3 Date de publication en ligne : 24/02/2009 En ligne : https://doi.org/10.1007/s10707-009-0078-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81113
in Geoinformatica > vol 14 n° 1 (January 2010) . - pp 101 - 134[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2010011 RAB Revue Centre de documentation En réserve L003 Disponible Finding appropriate interpolation techniques for topographic surface generation for mudslide risk zonation / A. Vansarochana in Geocarto international, vol 24 n° 4 (August - September 2009)PermalinkEstimating sea floor dynamics in the southern North Sea to improve bathymetric survey planning / L. Dorst (2009)PermalinkGeostastical modeling of sedimentological parameters using multi-scale terrain variables: application along the Belgian part of the North sea / Els Verfaillie in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)PermalinkIs the spatial distribution of European beech (Fagus sylvatica L.) limited by its potential height growth? / Ingrid Seynave in Journal of Biogeography, vol 35 n° 10 (October 2008)PermalinkDynamique spatiale des précipitations en région Centre / Michael Berthelot in Géomatique expert, n° 64 (01/09/2008)PermalinkSRTM resample with short distance-low nugget kriging / C.H. Grohmann in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)PermalinkPopulation-density estimation using regression and area-to-point residual kriging / X. Liu in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)PermalinkAide-mémoire de géostatistique linéaire / P. Chauvet (2008)PermalinkInfluence du climat sur la faune et la flore écossaises / Margaux Maes (2008)PermalinkAn elevation of void-filling interpolation methods for SRTM data / H.I. Reuter in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)Permalink